Glass panel sound hole defect detection method and system

A defect detection and glass panel technology, which is applied in image data processing, instrumentation, computing, etc., can solve problems such as inability to meet real-time detection, insufficient adaptability, and complex algorithms

Active Publication Date: 2016-03-30
刘新辉 +4
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a sound hole defect detection method and system for glass panels, aiming to solve the problem that the existing sound...

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  • Glass panel sound hole defect detection method and system
  • Glass panel sound hole defect detection method and system
  • Glass panel sound hole defect detection method and system

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[0081] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0082] To judge the sound hole defect of the glass panel of the mobile phone, the image of the sound hole is collected for grayscale processing, and the hollow area of ​​the sound hole is segmented according to the gray index number, and the morphological operation operator is set in combination with the edge thickness of the sound hole to extract the sound hole For the region of interest, the threshold is set based on the average gray value of the region for segmentation, and BOLB analysis is performed to judge according to the connected domain area, aspect ratio and other characteristics of the ta...

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Abstract

The invention is applicable to glass panel sound hole defect identification, and provides a glass panel sound hole defect detection method. The method comprises the following steps: A, collecting an image of a sound hole of a glass panel and processing the image to get a sound hole image, and performing expansion operation on the sound hole image to get a sound hole gray image; B, getting a binarization threshold through gray statistics of the sound hole gray image, and carrying out binarization segmentation of the sound hole gray image to get a sound hole binarization image; C, analyzing and extracting the sound hole binarization image to get a hollow area image, and calculating the hollow area image to get a sound hole area-of-interest image; and D, identifying a defect according to the sound hole area-of-interest image, and marking the coordinates of the defect. According to the invention, a sound hole contour area-of-interest is extracted according to the contour features of the sound hole, a bright failure is detected and judged based on the neighborhood gray average, and further, sound hole edge chipping, cracking and uneven edge of a variety of models of glass panels can be detected.

Description

[0001] technology neighborhood [0002] The invention belongs to the field of panel detection, and in particular relates to a sound hole defect detection method and system for mobile phone glass panels based on image contour feature extraction. Background technique [0003] At present, there are three types of detection and identification methods for glass panel surface defects: image matching and comparison methods, non-image matching and comparison methods and hybrid methods. (1) Image matching and comparison method. This method is to match the standard image as a template with the detected image, that is, XOR operation. This method is suitable for defects such as gaps and edge bumps in the image, but for many types There is no difference in the shape of bright spot defects on the glass panel of mobile phones. The characteristic is that the gray value is higher than that of the surrounding area. At the same time, different customers have different sizes of sound holes on th...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0008G06T7/60
Inventor 刘新辉冯平程涛孙高磊彭涛
Owner 刘新辉
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